EXPLORE is a flexible computer program for analyzing multiple data sets. For the case of two data sets, the output includes: (1) the complete multiple correlation analysis of each variable (component) in one set regressed on all variates of the other set, (2) a canonical correlation solution, and (3) a final transformation to enhance substantive interpretation of the data. The investigator has the option of focusing upon the original variables, or of selecting a reduced rank solution where these variables are summarized by a small number of principal components. A range of transformations (rotations) is available that allows EXPLORE to be employed in both an exploratory or hypothesis testing mode.
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References
1.
Jackson, D. N. and Skinner, H. A.Univocal Varimax: An orthogonal factor rotation program for optimal simple structure. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1975, 35, 663-665.
2.
Johnson, R. M.The minimal transformation to orthonormality. Psychometrika, 1966, 31, 61-66.
3.
Kaiser, H. F.Uncorrelated linear composites maximally related to a complex of correlated observations. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 1967, 27, 3-6.
4.
Schönemann, P. H.The generalized solution of the orthogonal procrustes problem. Psychometrika, 1966, 31, 1-16.
5.
Skinner, H. A.Exploring relationships among multiple data sets. Multivariate Behavioral Research, 1977, 12, 199-220.
